Skip to main content

⭐ How to Use Amazon's Request a Review Button Effectively

Learn how to use Amazon's Request a Review button correctly, avoid policy violations, and build a stronger review strategy that improves rankings and drives more sales.

Written by Denis
Updated yesterday

📋 Overview

Amazon's Request a Review button is a built-in tool that allows sellers to send a standardized, Amazon-approved review request to buyers after an order is delivered. Used correctly, it is one of the safest and most effective ways to generate authentic product reviews and seller feedback — two signals that directly influence search rankings and buyer trust. In this guide, you will learn exactly how the feature works, when to use it, how to maximize its impact, and the critical rules you must follow to stay compliant with Amazon's policies.


🎯 Who This Is For

🌱 Beginner Sellers

  • Sellers who have launched their first product and need to build their initial review count

  • Sellers unsure of what is and is not allowed when asking customers for reviews

  • Sellers looking for a policy-safe starting point for their review generation strategy

🚀 Advanced Sellers

  • Sellers managing large order volumes who want to automate or systematize review requests at scale

  • Sellers recovering review counts after product relaunches or listing merges

  • Sellers optimizing their review request timing to improve conversion rates


🔑 Key Concepts You Need to Know

📝 Request a Review Button

A feature inside Seller Central (Amazon's seller management portal) that sends buyers a pre-written, Amazon-formatted email asking them to leave a product review and seller feedback. The message content is fully controlled by Amazon — sellers cannot edit it.

⭐ Product Review vs. Seller Feedback

A product review is a public rating and comment about the item itself. Seller feedback is a rating of your performance as a seller (shipping speed, communication, accuracy). The Request a Review message requests both simultaneously.

📦 Order Delivery Window

Amazon only allows review requests to be sent between 5 and 30 days after the order delivery date. Requests sent outside this window are not permitted and will be blocked by the system.

🔁 One Request Per Order

Each order is eligible for exactly one review request. You cannot send a follow-up or a second request if the buyer does not respond.

🌐 Buyer-Language Localization

Amazon automatically sends the request in the buyer's preferred language. Sellers do not need to manage translations.

🚫 Review Manipulation Policy

Amazon's policies strictly prohibit offering incentives, discounts, or any compensation in exchange for reviews. Violating this policy can result in listing suppression, account suspension, or permanent removal from the marketplace.


🛠️ Step-by-Step Guide

1️⃣ Navigate to Your Orders in Seller Central

Log in to Seller Central and go to Orders > Manage Orders. This is where all of your recent and historical orders are listed.

2️⃣ Locate the Eligible Order

Find the order you want to follow up on. Use the search or filter options to narrow by date range. Confirm the order status shows as Delivered before proceeding.

💡 Pro Tip: Sort orders by delivery date so you can efficiently identify those entering their optimal request window (Days 5–10 post-delivery).

3️⃣ Open the Order Detail Page

Click the Order ID to open the individual order detail page. This is where the Request a Review button is located.

4️⃣ Confirm the Request Window Is Open

Before clicking the button, verify that at least 5 days have passed since the confirmed delivery date and that fewer than 30 days have elapsed. If the window has closed, the button will be grayed out or unavailable.

5️⃣ Click the Request a Review Button

Click the Request a Review button on the order detail page. A confirmation pop-up will appear. Confirm your selection. Amazon will send the standardized email to the buyer on your behalf.

💡 Pro Tip: You will not see a preview of the message — Amazon controls the content entirely. Do not attempt to send a separate buyer-seller message requesting a review, as this violates Amazon's communication policies.

6️⃣ Use the Buyer-Seller Messaging System Only for Permitted Topics

Amazon's Buyer-Seller Messaging tool can only be used for order-related issues (shipping problems, product defects, returns). Never use it to request reviews or feedback — this is a policy violation even if the message is politely worded.

7️⃣ Track Your Review Velocity Over Time

Monitor your review count weekly. If you notice a significant gap between the volume of requests sent and reviews received, consider whether your product experience, packaging, or post-purchase customer journey needs improvement — not more review solicitations.

💡 Pro Tip: A low review conversion rate is often a product or experience signal, not a volume problem. Address root causes before scaling outreach.

8️⃣ Scale with Automation for High Order Volumes

Manually clicking the button for every order is not practical at scale. Amazon allows third-party tools that use the Selling Partner API (SP-API) to send review requests automatically within the permitted window. When evaluating automation tools, confirm they are SP-API compliant and do not modify Amazon's message content or timing rules.

💡 Pro Tip: Always verify that any automation tool you use is authorized through Amazon's SP-API program. Unauthorized tools that scrape or spoof Seller Central actions put your account at risk.

9️⃣ Exclude Orders That Are Likely to Generate Negative Reviews

Before sending a request, review whether the order had a customer service issue, a return request, or a negative buyer-seller message. Sending a review request to a dissatisfied customer increases the risk of a negative review. Proactively resolve issues before triggering a request.

💡 Pro Tip: If a buyer has already contacted you about a problem and the issue is unresolved, pause the review request for that order until the situation is corrected or the return is processed.

🔟 Build a Consistent Cadence, Not a One-Time Push

The most effective review strategies are consistent and ongoing. Build a weekly habit or automated workflow so that every eligible order receives a request within the optimal window. Sporadic, high-volume pushes tend to produce lower conversion rates than steady, timely outreach.


📖 Real-World Examples

🌱 Scenario 1: New Seller Building Initial Social Proof

Seller profile: A beginner seller who launched a private label kitchen product 3 weeks ago with zero reviews.

The problem: Low review count was suppressing click-through rate and conversion. The listing was appearing in search results but buyers were choosing competitors with more reviews.

Action taken: The seller reviewed all delivered orders from the past 25 days and used the Request a Review button on every eligible order that had no reported issues.

Result: Within two weeks, the product accumulated 8 verified reviews, pushing it past the threshold where Amazon's algorithm began distributing it more broadly in search results. Conversion rate improved measurably.

🚀 Scenario 2: High-Volume Seller Automating at Scale

Seller profile: An experienced seller with 4 ASINs generating 200–300 orders per month combined.

The problem: Manually sending review requests was taking 30–45 minutes per day and was inconsistent. Some orders were being missed, and timing varied widely.

Action taken: The seller integrated an SP-API compliant review request automation tool. They configured it to send requests 7 days after confirmed delivery, and set up a filter to exclude orders with open return requests or negative buyer messages.

Result: Review request coverage increased from approximately 60% of eligible orders to 97%. Monthly review velocity increased across all four ASINs. Time spent on the task dropped to near zero.

⚠️ Scenario 3: Seller Who Sent Requests Without Filtering Problem Orders

Seller profile: An intermediate seller who enabled bulk review requests without reviewing order health first.

The problem: A small batch of orders had unresolved shipping delays and one product quality complaint. The seller sent review requests to all delivered orders without filtering.

Action taken (mistake): Automated requests went out to all delivered orders including the affected buyers.

Result: Three negative reviews were posted within a week, two of which directly referenced the shipping delay and product issue. The seller then had to spend time on review response management and a product improvement effort that could have been avoided. The lesson: always filter problem orders before sending requests.


🚨 Common Mistakes to Avoid

❌ Sending Review Requests Outside the Permitted Window

Why sellers make this mistake: Sellers sometimes manually batch-process old orders without checking delivery dates, or assume any delivered order is eligible.

What to do instead: Always confirm the order was delivered between 5 and 30 days ago before sending a request. Set up date-range filters in Manage Orders to prevent accidentally selecting ineligible orders.

⚠️ Using Buyer-Seller Messaging to Ask for Reviews

Why sellers make this mistake: Sellers who learned review strategies from older guides may have used follow-up email sequences through buyer-seller messaging. This practice is now explicitly prohibited by Amazon's communication policies.

What to do instead: Use only the official Request a Review button or an SP-API compliant automation tool. Reserve Buyer-Seller Messaging strictly for resolving order-related issues.

🚫 Requesting Reviews After a Customer Service Failure

Why sellers make this mistake: Automated tools or manual processes may not account for orders that had a negative experience. Sellers focus on volume without filtering quality.

What to do instead: Before sending any review request, check the order for open returns, refund requests, or negative buyer messages. Resolve the issue first. If the issue cannot be resolved satisfactorily, skip the review request for that order.

🚫 Incentivizing Reviews in Any Form

Why sellers make this mistake: Some sellers believe that including a package insert offering a discount "if you love the product" is a gray area. It is not — any conditional or unconditional incentive tied to leaving a review violates Amazon's policies.

What to do instead: Never tie discounts, refunds, free products, or any benefit to the act of leaving a review. Package inserts are permitted only if they direct buyers to contact you with issues or provide general brand information — not to solicit reviews.

⚠️ Treating Review Requests as a Substitute for Product Quality

Why sellers make this mistake: Sellers sometimes over-invest in review solicitation tactics while underinvesting in the product and customer experience that actually drive positive reviews.

What to do instead: Monitor your review conversion rate (reviews received divided by requests sent). If it is consistently low, investigate your product quality, packaging, listing accuracy, and delivery experience before increasing outreach volume.


📈 Expected Results

When you apply the guidance in this article consistently, you can reasonably expect the following outcomes:

  • Higher review velocity: A higher percentage of eligible orders will result in reviews when requests are sent within the optimal 5–10 day window.

  • Improved search ranking: Review count and recency are factors in Amazon's A9 algorithm. More consistent review generation supports sustained ranking performance.

  • Better listing conversion: Shoppers are significantly more likely to purchase products with a meaningful number of recent, verified reviews.

  • Reduced policy risk: By using only Amazon-sanctioned methods, you eliminate the account risk associated with prohibited review tactics.

  • Operational efficiency at scale: Automating review requests through SP-API compliant tools saves meaningful time while improving coverage across your entire catalog.

  • Fewer negative surprises: Filtering out problem orders before sending requests reduces the likelihood of triggering negative reviews that could have been avoided.


❓ FAQs

🤔 Can I customize the message Amazon sends when I click Request a Review?

No. Amazon controls the entire content of the review request email. The message is standardized, translated into the buyer's language automatically, and cannot be edited by the seller. This is intentional — it ensures consistency and policy compliance across all requests.

🤔 What happens if a buyer opts out of receiving Amazon review request emails?

If a buyer has opted out of non-critical Amazon communications, they will not receive your review request even if you click the button. Amazon manages these preferences on the buyer's behalf. There is nothing a seller can do to override this, and attempting to contact them through other means to request a review is a policy violation.

🤔 Does sending a review request guarantee the buyer will leave a review?

No. The request increases the likelihood of a review but does not guarantee one. Amazon's research and general industry experience suggest that the majority of buyers do not leave reviews even when asked. Typical conversion rates vary widely depending on the product category, customer experience, and price point. Focus on consistent outreach rather than chasing a specific conversion target.

🤔 Can I use the Request a Review button for FBA and FBM orders?

Yes. The button is available for both Fulfillment by Amazon (FBA) orders and Fulfillment by Merchant (FBM) orders, provided the order falls within the 5–30 day delivery window. The same rules and restrictions apply to both fulfillment types.

🤔 Is it against Amazon's policies to include a card in my product packaging that mentions reviews?

Package inserts that ask buyers to contact you with any issues, or that provide brand information, are generally permitted. However, inserts that explicitly ask for a review, direct buyers to leave only positive reviews, or offer any incentive in exchange for a review are policy violations. When in doubt, keep insert language focused on customer service and avoid any direct review solicitation or conditional language.

Did this answer your question?